Telomere-related gene risk model predicts prognostic and immune microenvironment alterations in prostate cancer
Abstract The improvement of the prediction of prostate cancer (PCa) is a major challenge in disease management. This study analysed a total of 147,856 cells and identified 15 distinct cell types using single-cell RNA-sequencing (scRNA-seq) and bulk RNA-seq data from TCGA and GEO databases. Of these...
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| Main Authors: | Danfeng Zhao, Zhenjie Zang, Haodong Li, Ruiyu Li, Guanbo Wang, Keqin Zhang, Tongxiang Diao, Qiang Fu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-98663-z |
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